Senior AI Specialist

Savana; Ribamontán al Monte; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Una empresa médica internacional galardonada busca un Especialista Senior en IA con experiencia en Machine Learning y NLP. Este rol implica diseñar y optimizar modelos de procesamiento de lenguaje natural, colaborando con un equipo diverso en un entorno dinámico. Con un enfoque en la innovación y la mejora de la salud a través de la tecnología, esta posición ofrece la oportunidad de hacer un impacto positivo en la atención médica. Si tienes pasión por la IA y deseas contribuir a un ecosistema de investigación clínica, esta es la oportunidad perfecta para ti.

Servicios

Trabajo con un equipo multidisciplinario

Oportunidad de impacto positivo en la salud

Cultura flexible

Marco de desarrollo profesional

Formación

• Experiencia en proyectos de Machine Learning enfocados en NLP y LLMs.
• Fluidez en Python y conocimiento de otros lenguajes de programación es una ventaja.
• Capacidad para trabajar bajo presión y cumplir plazos ajustados.

Responsabilidades

• Diseñar y desarrollar modelos de procesamiento de lenguaje natural.
• Colaborar con equipos multifuncionales para resolver problemas comerciales.
• Mantenerse al día con las últimas investigaciones en tecnologías de ML.

Conocimientos

Machine Learning

Natural Language Processing

Large Language Models

Python

Problem-solving

Communication

Teamwork

Analytical Skills

Educación

Master's or Ph.D. in Computer Science

Master's or Ph.D. in Data Science

Master's or Ph.D. in Machine Learning

Herramientas

Python

R

Java

Scala

Descripción del empleo

SAVANA is an award-winning, international medical company aiming to accelerate health science by putting into the hands of healthcare providers the power to unlock all of the clinical value embedded within existing Electronic Health Records (EHRs) with Artificial Intelligence and Natural Language Processing, always ensuring maximum privacy and security.

Founded in 2014, Savana has developed a scientific methodology that applies Artificial Intelligence (AI) to unlock all the clinical value embedded within Electronic Health Records' free-text (EHRs). With the largest AI-enabled, multi-language, multi-center research network in the world, Savana generates customized descriptive and predictive, high-quality Deep Real World Evidence research studies. Engineered by doctors for doctors, the company is built following the highest privacy-by-design standards.

Savana operates in more than 160 hospitals, 5 languages, 15 countries and has already improved more than 6 clinical practices with more than 100 employees from 16 nationalities. It constitutes a clinical research ecosystem that aims to advance personalized and precision medicine worldwide.

Senior AI Specialist at Savana

We are seeking a highly skilled and experienced Senior Specialist in Machine Learning with a strong focus on applying Large Language Models (LLMs) in Natural Language Processing (NLP) tasks. The ideal candidate will have extensive knowledge of the machine learning lifecycle and a proven record of delivering impactful ML solutions in production environments.

Major Accountabilities where this role is involved:

• Design, develop, fine-tune, optimize, and deploy state-of-the-art Natural Language Processing models, including LLMs, in clinical and multilingual settings, using foundational model libraries.
• Design and implement optimization techniques for quality assurance, explainability, and annotation projects.
• Understand the full Machine Learning lifecycle, from data collection/preparation and model development to model deployment and monitoring.
• Collaborate with cross-functional teams to identify and solve business problems using advanced Machine Learning techniques.
• Stay up to date with the latest research and advancements in NLP, LLMs, and Machine Learning technologies, including Retrieval Augmented Generation (RAG).
• Work collaboratively within a multicultural, multilingual team and meet tight project deadlines.
• Support and execute projects within the team’s core responsibility including model development and fine-tuning for real-world evidence studies.
• Operate according to Security Policies, Procedures, and Manuals.
• Report any suspect incident or improvement proposals.

Skills, Experience and Qualifications required:

• Advanced degree (Master's or Ph.D.) in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience working on Machine Learning projects, with a focus on NLP and LLMs; experience working with clinical data and/or in different languages is a plus.
• Deep understanding of Machine Learning principles, including model design, training, validation, and evaluation, and other Artificial Intelligence techniques (Bayes, clustering, classification, PCA, etc.).
• Fluency in Python is mandatory; proficiency in additional programming languages such as R, Java, or Scala is a strong advantage.
• Demonstrated ability to work under pressure and deliver projects on time in a dynamic and collaborative environment.
• Spanish fluency is mandatory.
• Knowledge of additional European languages, such as English, French, German, Portuguese, or Italian, is highly advantageous.
• Strong problem-solving skills and analytical mindset.
• Effective communication and teamwork abilities.
• Detail-oriented, with a strong commitment to delivering high-quality results.
• Initiative and passion for staying ahead in the rapidly evolving field of Machine Learning and NLP.

We offer:

• Work with a multidisciplinary team of clinicians, computer engineers, computational linguists, mathematicians, designers, medical Natural Language Processing expert programmers, and other disciplines. We are a team of professionals with a common goal: to blend the knowledge of all of us to seek excellence in our purpose.
• An opportunity to provoke a positive impact. We seek to improve health on the planet through technology and to help people and health institutions.
• An environment to express yourself as you are and enjoy what you know. We defend individuality to form a richer and more plural 'ecosystem'.
• Competitive salary conditions, flexible culture, and a development framework to grow your career.